Machine Learning Researcher

About the Company

Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode images, text, and video initially, and eventually moving to internal thought.

Responsibilities

• Develop, train, and refine state-of-the-art deep learning models for neural decoding using architectures like transformers and diffusion models
• Explore novel approaches for modeling high-frequency timeseries EEG datasets and adjacent data modalities
• Translate research insights into production-grade code for the in-house BCI stack
• Collaborate with neuroscientists and ML engineers to create scalable, end-to-end neural decoding solutions
• Publish findings at top-tier ML and AI conferences such as NeurIPS, ICML, ICLR, and CVPR

Requirements

• Bachelor's degree with 5-7 years of ML research experience, or Graduate degree (M.S., Ph.D.) with 3+ years of experience
• Expertise in Multimodal Representation Learning (CLIP-style, masked autoencoding)
• Expertise in Generative Modeling (diffusion, transformer-decoders, latent-GANs)
• Expertise in Temporal Sequence Modeling (state-space models, STFT-aware transformers, RWKV)
• Track record of publications in top ML conferences or journals
• Strong proficiency in Python and PyTorch
• Experience with distributed training and production-quality codebases

Preferred Qualifications

• Ph.D. in Computer Science or related domain
• Experience in high-profile ML research labs

Benefits

• Options for housing support
• Visa sponsorship
• 3% 401k matching
• Health insurance